[1] Hughes D P,Salathe M.An open access repository of images on plant health to enable the development of mobile disease diagnostics[J].arXiv:Computers and Society,2015.
[2] Omrani E,Khoshnevisan B,Shamshirband S,et al.Potential of radial basis function-based support vector regression for apple disease detection[J].Measurement,2014,55(1):512-519.
[3] 王志彬,王开义,王书锋,等.基于动态集成的黄瓜叶部病害识别方法[J].农业机械学报,2017,48(9):46-52. Wang Zhibin,Wang Kaiyi,Wang Shufeng,et al.Recognition method of cucumber leaf diseases with dynamic ensemble learning[J].Chinese Society for Agricultural Machinery,2017,48(9):46-52.(in Chinese)
[4] 马浚诚,温皓杰,李鑫星,等.基于图像处理的温室黄瓜霜霉病诊断系统[J].农业机械学报,2017,48(2):195-202. Ma Juncheng,Wen Haojie,Li Xinxing,et al.Downy mildew diagnosis system for greenhouse cucumbers based on image processing[J].Chinese Society for Agricultural Machinery,2017,48(2):195-202.(in Chinese)
[5] 詹曙,王俊,杨福猛,等.基于Gabor特征和字典学习的高斯混合稀疏表示图像识别[J].电子学报,2015,43(03):523-528. Zhan Shu,Wang Jun,Yang Fumeng,et al.Gaussian mixture sparse representation for image recognition based on gabor features and dictionary learning[J].Acta Electronica Sinica,2015,43(03):523-528.(in Chinese)
[6] Mohanty S P Mohanty S P,Hughes D P,Salathe M,et al.Using deep learning for image-based plant disease detection[J].Frontiers in Plant Science,2016,7(1):1-7.
[7] Szegedy C,Liu W,Jia Y,et al.Going deeper with convolutions[A].IEEE Conference on Computer Vision and Pattern Recognition[C].Boston:IEEE,2015.1-9.
[8] Krizhevsky A,Sutskever I,Hinton G E,et al.ImageNet classification with deep convolutional neural networks[A].NIPS'12 Proceedings of the 25th International Conference on Neural Information Processing Systems[C].Lake Tahoe,Nevada:IEEE,2012.1097-1105.
[9] Nachtigall L G,Araujo R M,Nachtigall G R,et al.Classification of apple tree disorders using convolutional neural networks[A].28th IEEE International Conference on Tools with Artificial Intelligence[C].San Jose,CA,USA:IEEE,2016.472-476.
[10] Fuentes A,Yoon S,Kim S C,et al.A robust deep-learning-based detector for real-time tomato plant diseases and pests recognition[J].Sensors,2017,17(9):1-21.
[11] Ren S,He K,Girshick R B,et al.Faster R-CNN:towards real-time object detection with region proposal networks[A].Neural Information Processing Systems[C].Montréal,Canada:IEEE,2015.91-99.
[12] Dai J,Li Y,He K,et al.R-FCN:object detection via region-based fully convolutional networks[A].NIPS'16 Proceedings of the 29th International Conference on Neural Information Processing Systems[C].Barcelona:IEEE,2016.379-387.
[13] Liu W,Anguelov D,Erhan D,et al.SSD:single shot multibox detector[A].European Conference on Computer Vision[C].Amsterdam:Springer,2016.21-37.
[14] Simonyan K,Zisserman A.Very deep convolutional networks for large-scale image recognition[A].International Conference on Learning Representations[C].San Diego:IEEE,2015.1-14.
[15] He K,Zhang X,Ren S,et al.Deep residual learning for image recognition[A].IEEE Conference on Computer Vision and Pattern Recognition[C].Las Vegas,Nevada:IEEE,2016.770-778.
[16] 孙俊,谭文军,毛罕平,等.基于改进卷积神经网络的多种植物叶片病害识别[J].农业工程学报,2017,33(19):209-215. Sun Jun,Tan Wenjun,Mao Hanping,et al.Recognition of multiple plant leaf diseases based on improved convolutional neural network[J].Transactions of the Chinese Society of Agricultural Engineering,2017,33(19):209-215.(in Chinese)
[17] 张航,程清,武英洁,等.一种基于卷积神经网络的小麦病害识别方法[J].山东农业科学,2018,50(3):137-141. Zhang Hang,Cheng Qing,Wu Yingjie,et al.A method of wheat disease identification based on convolutional neural network[J].Shandong Agricultural Sciences,2018,50(3):137-141.(in Chinese)
[18] 柯圣财,赵永威,李弼程,等.基于卷积神经网络和监督核哈希的图像检索方法[J].电子学报,2017,45(01):157-163. Ke Shengcai,Zhao Yongwei,Li Bicheng,et al.Image retrieval based on convolutional neural network and kernel-based supervised hashing[J].Acta Electronica Sinica,2017,45(01):157-163.(in Chinese)
[19] Lee S H,Chan C S,Mayo S J,et al.How deep learning extracts and learns leaf features for plant classification[J].Pattern Recognition,2017,71(1):1-13.
[20] Kumar N,Belhumeur P N,Biswas A,et al.Leafsnap:a computer vision system for automatic plant species identification[A].European Conference on Computer Vision[C].Firenze,Italy:Springer,2012.502-516.
[21] Hall D,Mccool C,Dayoub F,et al.Evaluation of features for leaf classification in challenging conditions[A].IEEE Workshop on Applications of Computer Vision[C].Waikoloa Beach,Hawaii:IEEE,2015.797-804.
[22] Yang J,Yu K,Gong Y,et al.Linear spatial pyramid matching using sparse coding for image classification[A].IEEE Conference on Computer Vision and Pattern Recognition[C].Miami,Florida:IEEE,2009.1794-1801.
[23] Chang C,Lin C.LIBSVM:a library for support vector machines[J].ACM Transactions on Intelligent Systems and Technology,2011,2(3):1-27.
[24] Douze M,Jegou H,Sandhawalia H,et al.Evaluation of GIST descriptors for web-scale image search[A].Proceeding of the ACM International Conference on Image and Video Retrieval[C].Santorini Island,Greece:ACM,2009.1-19. |